Post-COVID-19 Condition and Health Status

Background: Observational studies of the long-term effects of COVID-19 infection generally focus on individual symptoms rather than health status. Objective: Longitudinal assessment of general health status following COVID-19 infection. Design: Observational study, with data collected from two telephone surveys at 32 ± 10 and 89 ± 25 days after discharge from the hospital or emergency department (ED) for a COVID-19 infection. Medicaid or no insurance was our marker of low socioeconomic status (SES). Acute disease severity was determined by summing 10 severity markers (yes-no) from the health encounter. Baseline comorbidity was a modified Charlson Index. Participants: 40 patients. Mean age was 54 ± 15 years, 50% were female, and 40% had low socioeconomic status. Main Measures: (1) the 20-item Medical Outcomes Study Short-Form General Health Survey (SF-20); (2) Dyspnea (modified Medical Research Council); (3) Psychological symptoms (Patient Health Questionnaire for Anxiety and Depression); (4) Cognitive function (Cognitive Change Questionnaire); (5) Fatigue (Short Fatigue Questionnaire); (6) A 10-item review of systems (ROS) questionnaire. Key Results: Percentages with abnormal symptoms at the first and second surveys were (respectively): Dyspnea (40, 33), Fatigue (53, 50), Anxiety (33, 18), Depression (20, 10), PHQ-4 Composite (25, 13), and Cognitive (18, 10). Mean scores on the SF-20 subscales, Physical Functioning, Role Functioning, Social Functioning, Health Perception, Mental Health, and Pain were numerically lower than means from a published study of elderly outpatients. With the exception of Pain, all SF-20 subscale scores improved significantly by the second survey. In multivariable analyses, dyspnea was predictive of impairment in all SF-20 subscales at the second survey. Conclusions: COVID-19 infection causes persistent abnormality across multiple patient-reported outcome areas, including health status. The persistence of impairment in each health status component is influenced by baseline dyspnea.

Prescription Medications and Co-Morbidities in Late Middle-Age are Associated with Greater Cognitive Declines: Results from WRAP

The present study investigated: 1) sex differences in polypharmacy, comorbidities, self-rated current health (SRH), and cognitive performance, 2) associations between comorbidities, polypharmacy, SRH, and objective measures of health, and 3) associations of these factors with longitudinal cognitive performance. Analyses included 1039 eligible Wisconsin Registry for Alzheimer’s Prevention (WRAP) participants who were cognitively unimpaired at baseline and had ≥2 visits with cognitive composites, self-reported health history, and concurrent medication records. Repeated measures correlation (rmcorr) examined the associations between medications, co-morbidities, SRH, and objective measures of health (including LIfestyle for BRAin Health Index (LIBRA), and depression). Linear mixed-effect models examined associations between medications, co-morbidities, and cognitive change over time using a preclinical Alzheimer’s cognitive composite (PACC3) and cognitive domain z-scores (executive function, working memory, immediate learning, and delayed recall). In secondary analyses, we also examined whether the number of medications interacted with co-morbidities and whether they modified age-related cognitive trajectories. The number of prescribed medications was associated with worse SRH and a higher number of self-reported co-morbidities. More prescribed medications were associated with a faster decline in executive function, and more comorbidities were associated with faster PACC3 decline. Those with a non-elevated number of co-morbidities and medications performed an average of 0.26 SD higher (better) in executive function and an average of 0.18 SD higher on PACC3 than those elevated on both. Associations between medications, co-morbidities, and executive function, and PACC3 suggest that persons with more co-morbidities and medications may be at increased risk of reaching clinical levels of impairment earlier than healthier, less medicated peers.

Higher baseline inflammatory marker levels predict greater cognitive decline in older people with type 2 diabetes: year 10 follow-up of the Edinburgh Type 2 Diabetes Study

Aims/hypothesis We aimed to determine the longitudinal association of circulating markers of systemic inflammation with subsequent long-term cognitive change in older people with type 2 diabetes. Methods The Edinburgh Type 2 Diabetes Study is a prospective cohort study of 1066 adults aged 60 to 75 years with type 2 diabetes. Baseline data included C-reactive protein, IL-6, TNF-α fibrinogen and neuropsychological testing on major cognitive domains. Cognitive testing was repeated after 10 years in 581 participants. A general cognitive ability score was derived from the battery of seven individual cognitive tests using principal component analysis. Linear regression was used to determine longitudinal associations between baseline inflammatory markers and cognitive outcomes at follow-up, with baseline cognitive test results included as covariables to model cognitive change over time. Results Following adjustment for age, sex and baseline general cognitive ability, higher baseline fibrinogen and IL-6 were associated with greater decline in general cognitive ability (standardised βs = −0.059, p=0.032 and −0.064, p=0.018, respectively). These associations lost statistical significance after adjustment for baseline vascular and diabetes-related covariables. When assessing associations with individual cognitive tests, higher IL-6 was associated with greater decline in tests of executive function and abstract reasoning (standardised βs = 0.095, p=0.006 and −0.127, p=0.001, respectively). Similarly, raised fibrinogen and C-reactive protein levels were associated with greater decline in processing speed (standardised βs = −0.115, p=0.001 and −0.111, p=0.001, respectively). These associations remained statistically significant after adjustment for the diabetes- and vascular-related risk factors. Conclusions/interpretation Higher baseline levels of inflammatory markers, including plasma IL-6, fibrinogen and C-reactive protein, were associated with subsequent cognitive decline in older people with type 2 diabetes. At least some of this association appeared to be specific to certain cognitive domains and to be independent of vascular and diabetes-related risk factors. Graphical abstract

An fMRI Study Using a Combined Task of Interval Discrimination and Oddball Could Reveal Common Brain Circuits of Cognitive Change

Recent functional neuroimaging studies suggest that the brain networks responsible for time processing are involved during other cognitive processes, leading to a hypothesis that time-related processing is needed to perform a range of tasks across various cognitive functions. To examine this hypothesis, we analyze whether, in healthy subjects, the brain structures activated or deactivated during performance of timing and oddball-detection type tasks coincide. To this end, we conducted two independent signed differential mapping (SDM) meta-analyses of functional magnetic resonance imaging (fMRI) studies assessing the cerebral generators of the responses elicited by tasks based on timing and oddball-detection paradigms. Finally, we undertook a multimodal meta-analysis to detect brain regions common to the findings of the two previous meta-analyses. We found that healthy subjects showed significant activation in cortical areas related to timing and salience networks. The patterns of activation and deactivation corresponding to each task type partially coincided. We hypothesize that there exists a time and change-detection network that serves as a common underlying resource used in a broad range of cognitive processes.

Cognitive Trajectories Following Acute Infection in Older Patients With and Without Cognitive Impairment: An 1-Year Follow-Up Study

Introduction: Dementia is a known risk factor for both delirium and acute systemic infections which may also play a significant role in promoting or accelerating neurodegenerative disease. Infections are both the main causes of hospitalization of dementia patients and can be a major precipitant of delirium but currently it is not possible to predict the risk of cognitive decline in older patients exposed to acute infection.Objectives: We aimed to determine the level of cognitive change at 1-year follow up in individuals with different patterns of cognitive function (dementia, delirium, delirium superimposed on dementia) at the time of their hospitalization due to a systemic infection and to correlate these cognitive patterns with clinical status variables.Methods: We recruited 53 hospitalized geriatric patients with a systemic infection, and we collected 12-months follow up data for 34 patients. These patients were classified in four groups: no cognitive impairment (controls—C), delirium only (D), dementia only (Dem), and delirium superimposed to dementia (DD). Cognitive performance was measured by change in score on the Montreal Cognitive Assessment (MoCA) and delirium was identified using Confusion Assessment Measure (CAM). We examined performance on the MoCA in the first year after hospitalization, controlling for demographic characteristics, coexisting medical conditions, and type of infection.Results: For the 34 patients to whom follow-up data was available, delirium presence in individuals with prior dementia (DD group) was associated with a negative mean change score of 3-point (p < 0.02) at 1 year follow up, whereas dementia patients without delirium had a mean change score of 1.5-point lower at 12-months (p = 0.04), when comparing follow-up and baseline MoCA scores. Cognitively healthy patients did not significantly decrease their MoCA score at follow-up (p = 0.15). MoCA and NPI scores during hospitalization were significantly correlated with the level of cognitive decline in the four groups (r = 0.658, p < 0.01 and r = 0.439, p = 0.02, respectively).Conclusions: Premorbid dementia and delirium superimposed on dementia during hospitalization in older patients with acute infections predict cognitive decline at 1 year following admission. Taken together, our findings suggest a pathophysiological interaction between neurodegenerative changes, acute infection, and delirium.

Transforming Aging: Increased Access to Care Minimizes Rural and Urban Differences in Cognitive Change

Rural-urban disparities in cognitive health outcomes, such as greater prevalence of cognitive decline among rural-dwelling older adults, have been linked to inequity in access to care. However, few studies have demonstrated whether longitudinal increased access to care may mitigate such disparities. This paper presents data from ongoing systematically collected behavioral health data on new and returning patients at an interdisciplinary geriatrics clinic at the University of Alabama Medical Center. The aim of this study was to determine baseline predictors of cognitive change across three annual visits (n = 42, mean age of 75.63 years (SD = 9.15)). Adjusting for baseline cognitive status, baseline subjective health literacy, and baseline depression and anxiety, results from a univariate ANCOVA showed that age at first visit (B = -.024, 95% CI [-.041, -.008], t(35) = -2.990, p = .005) and rural-urban status (B = .555, 95% CI [.123, .988], t(35) = 2.608, p = .013) predicted cognitive change at timepoint three (T3). Specifically, individuals from rural areas were less likely to experience cognitive decline and scored .555 points better than individuals from urban areas on cognitive screeners at T3 compared with baseline cognitive status. These results suggest that increased access to and utilization of care may ameliorate traditional disparate rates of cognitive decline between rural- and urban-dwelling older adults. Moreover, behavioral health screenings in primary geriatrics clinic care may help identify patient cognitive needs and facilitate integrated care through combined medical, pharmacological, and behavioral interventions to promote positive cognitive health outcomes.

Socioeconomic Determinants of Cognitive Aging: A Cross-Country Comparison Between England and China

Lower educational attainment is associated with a higher risk of dementia and a steeper cognitive decline in older adults. However, less clear is how other socioeconomic markers contribute to cognitive ageing and if these socioeconomic influences on cognitive ageing differ between England and China. We examined the relationship of education, household wealth, and urbanicity with cognitive performance and rate of change over 7-8 years follow up in the English Longitudinal Study of Ageing and Chinese Health and Retirement Longitudinal Study, national representative samples of England and China. We found that the rate of cognitive change appears to be socioeconomically patterned, primarily by education and area-based characteristics (urban vs rural), with a stronger impact of inequalities seen in rural China. Public health strategies for preventing cognitive decline and dementia should target socioeconomic gaps to reduce health disparities and protect those particularly disadvantaged in England and China.